Research on key technology of prognostic and health management for autonomous underwater vehicle

Zhi Zhou

doi:10.1117/12.2299516

19 December 2017 Research on key technology of prognostic and health management for autonomous underwater vehicle

Zhi Zhou

Proceedings Volume 10613, 2017 International Conference on Robotics and Machine Vision; 106130N (2017) https://doi.org/10.1117/12.2299516
Event: Second International Conference on Robotics and Machine Vision, 2017, Kitakyushu, Japan

Abstract

Autonomous Underwater Vehicles (AUVs) are non-cable and autonomous motional underwater robotics. With a wide range of activities, it can reach thousands of kilometers. Because it has the advantages of wide range, good maneuverability, safety and intellectualization, it becomes an important tool for various underwater tasks. How to improve diagnosis accuracy of the AUVs electrical system faults, and how to repair AUVs by the information are the focus of navy in the world. In turn, ensuring safe and reliable operation of the system has very important significance to improve AUVs sailing performance. To solve these problems, in the paper the prognostic and health management(PHM) technology is researched and used to AUV, and the overall framework and key technology are proposed, such as data acquisition, feature extraction, fault diagnosis, failure prediction and so on.

Citation Download Citation

Zhi Zhou "Research on key technology of prognostic and health management for autonomous underwater vehicle", Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130N (19 December 2017); https://doi.org/10.1117/12.2299516

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